Add to ORKGRecognition systems based on model matching using low level features often fail due to a variation in background. As a solution I present a system for the recognition of human faces independent of hairstyle. Correspondence maps between an image and a model are established by coarse-fine matching in a Gabor pyramid. These are used for hierarchical recognition
A working face recognition system requires the ability to represent facial images in such a way that...
Humans can effectively and swiftly recognize objects in complex natural scenes. This outstanding abi...
The topics discussed here are network models of object recognition; a computational theory of recogn...
Recognition systems based on model matching using low level features often fail due to a variation i...
As a contribution to handling the symbol grounding problem in AI an object recognition system is pre...
As a contribution to handling the symbol grounding problem in AI an object recognition system is pre...
I will present various systems for the recognition of human faces and technical objects. They consis...
A subject area is analyzed and the topicality of the problem of face recognition is shown. Methods f...
The major tasks for automatic object recognition are segmentation of the image and solving the corre...
On the basis of a pyramidal Gabor function representation of images two systems are presented that b...
Object recognition entails identifying instances of known objects in sensory data by searching for a...
The use of image pyramids and hierarchical models for 2-D object recognition is described. The image...
We describe a computational model of face recognition that makes use of the overlapping texture and ...
Automatic face recognition has been a di cult problem in the eld of computer vision for many years. ...
Humans can effectively and swiftly recognize objects in complex natural scenes. This outstanding abi...
A working face recognition system requires the ability to represent facial images in such a way that...
Humans can effectively and swiftly recognize objects in complex natural scenes. This outstanding abi...
The topics discussed here are network models of object recognition; a computational theory of recogn...
Recognition systems based on model matching using low level features often fail due to a variation i...
As a contribution to handling the symbol grounding problem in AI an object recognition system is pre...
As a contribution to handling the symbol grounding problem in AI an object recognition system is pre...
I will present various systems for the recognition of human faces and technical objects. They consis...
A subject area is analyzed and the topicality of the problem of face recognition is shown. Methods f...
The major tasks for automatic object recognition are segmentation of the image and solving the corre...
On the basis of a pyramidal Gabor function representation of images two systems are presented that b...
Object recognition entails identifying instances of known objects in sensory data by searching for a...
The use of image pyramids and hierarchical models for 2-D object recognition is described. The image...
We describe a computational model of face recognition that makes use of the overlapping texture and ...
Automatic face recognition has been a di cult problem in the eld of computer vision for many years. ...
Humans can effectively and swiftly recognize objects in complex natural scenes. This outstanding abi...
A working face recognition system requires the ability to represent facial images in such a way that...
Humans can effectively and swiftly recognize objects in complex natural scenes. This outstanding abi...
The topics discussed here are network models of object recognition; a computational theory of recogn...